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The British Journal of Radiology logoLink to The British Journal of Radiology
. 2019 May 13;92(1101):20180926. doi: 10.1259/bjr.20180926

Towards a standard MRI protocol for multiple sclerosis across the UK

Klaus Schmierer 1,2,1,2,, Thomas Campion 3, Audrey Sinclair 4, Wim van Hecke 5, Paul M Matthews 6, Mike P Wattjes 7,8,7,8
PMCID: PMC6732926  PMID: 30994035

Abstract

Multiple sclerosis is a chronic inflammatory demyelinating and degenerative disease of the central nervous system. It is the most common non-traumatic cause of chronic disability in young adults. An early and accurate diagnosis, and effective disease modifying treatment are key elements of optimum care for people with MS (pwMS).

MRI has become a critical tool to confirm the presence of dissemination in space and time of lesions characteristic of inflammatory demyelination, a cornerstone of MS diagnosis, over and above exclusion of numerous differential diagnoses. In the modern era of early and highly effective DMT, follow-up of pwMS also relies heavily on MRI, to both confirm efficacy and for pharmacovigilance.

Since criteria for MS rely heavily on MRI, an agreed standardized acquisition and reporting protocol enabling efficient and equitable application across the UK is desirable. Following a recent meeting of MS experts in London (UK), we make recommendations for a standardized UK MRI protocol that captures the diagnostic phase as well as monitoring for safety and treatment efficacy once the diagnosis is established. Our views take into account issues arising from the (repeated) use of contrast agents as well as the advent of (semi-) automated tools to further optimize disease monitoring in pwMS.

COMMENTARY

Multiple sclerosis (MS) is an inflammatory demyelinating and degenerative disease of the central nervous system, and the most common non-traumatic cause of chronic disability in young adults.1 MS affects over 120,000 people in the UK.2 Early and accurate diagnosis, and effective disease modifying treatment (DMT) are key elements of optimum care for people with MS (pwMS).3,4

Ever since an International Panel chaired by the late Ian McDonald recommended its eponymous criteria for the diagnosis of MS, MRI has become a critical tool to confirm the presence of dissemination in space and time of lesions characteristic of inflammatory demyelination, cornerstones of MS, and to exclude numerous differential diagnoses.5 In the modern era of early and highly effective DMT, follow-up of pwMS also relies heavily on MRI, for disease control and pharmacovigilance.

Since MRI criteria for MS are based on specific techniques, agreed standardized acquisition and reporting protocols across the UK are desirable. This will facilitate continued monitoring of pwMS moving to different parts of the country. In the longer term, it also will provide comparable imaging and outcomes data that, when considered together, could inform better clinical decision-making. To discover whether any de facto standardization already is in place—despite the lack of formal agreement—we undertook a brief survey among neuroradiology trainees. A link to the survey, open between 2 January and 30 March 2018, was sent out twice using the email database of the British Society for Neuroradiologists trainee list. 10 trainees from 8 centres (Bristol, Cambridge, Leeds, Manchester, Newcastle, Norwich and two in London) responded. Heterogeneity of scanning protocols for MS among institutions was evident: only 50% acquired any volumetric sequences, and there was no consensus on the non-volumetric FLAIR, with coronal, sagittal and axial planes used in different centres. Of note, only a single centre used gadolinium contrast by default in all (diagnostic and follow-up) investigations of pwMS. The remainder of the centres restricted routine use of contrast administration to diagnostic scans. MRI measures of disease burden and its progression thus are not comparable across UK centres. Albeit based on a limited sample, this illustrates the need for standardization.

Whilst the diagnostic principles for MS have recently undergone their third revision,6 there has perhaps been lesser emphasis on acquisition techniques. However, to provide an equitable service across the country within the financial constraints of the NHS,7 an efficient way to enable best practice in MS that covers the diagnostic and follow-up/monitoring phases is warranted. There is no need to “reinvent the wheel,” since both the MRI in MS (MAGNIMS)8 and Consortium of MS Centres9 networks have recently updated their evidence-based guidance on MRI in MS. Detailed suggestions provided by a Swedish consensus statement provide further reference points for a UK protocol covering the techniques used, timelines for scanning, as well as requesting and reporting guidelines10 (Table 1). However, while there are communalities among these protocols, most of them are too long (and partially redundant) to be used efficiently in the NHS. There is a need to develop a more concise, cost effective protocol for the UK which will balance the cost of scanning time and the information provided.

Table 1.

Recommended MRI protocols for diagnosis and follow-up of people with multiple sclerosis adapted from references 8–10 (acquisition times)

Consortium of Multiple Sclerosis Centres Task Force
Core sequences Optional sequences
Anatomic 3D inversion recovery (IR) T 1 gradient echo attenuation (5:21) Axial proton attenuation
Gadolinium single dose (0.1 mmol/kg for 30 s) Pre- or post-gadolinium axial T 1 spin-echo (for chronic black holes) (3:20)
2D (3:20)
3D sagittal T2WI FLAIR within T 2 lesions SWI for identification of CVS (3:02)
3D T 2WI b
2D axial DWI(5 mm sections, no gap) (1:52)
3D FLASH (non-IR prepared) post-gadolinium
3D series (e.g., 1.0–1.5 mm thickness); typically reconstructed to 3 mm for display and comparison of lesion counts
Swedish Multiple Sclerosis Association and the Swedish Neuroradiological Society
Diagnostic Follow-up
3D T 1 (Pre-contrast) (5:21) Gadolinium-based contrast agents
Haemorrhage sensitive sequence (SWI, gradient recalled echo or fast field echo) (3:02) Axial T 2 (2:20)
DWI (1:52) 3D T 2 FLAIR (5:42)
Gadolinium-based contrast agents 3D post-gadolinium T 1 (5:21)
Axial T 2 (2:20)
3D T 2-FLAIR (5:42)
3D T 1 (post-gadolinium) (5:21)
MAGNIMS Standardized MRI Protocol
Brain—diagnostic Follow-up
Axial 2D PD or T 2-FLAIR (2:44) Axial 2D PD (2:20) or T2-FLAIR (2:44)
Axial 2D T 2 weighted (2:20) Axial 2D T 2 weighted (2:20)
Sagittal T 2-FLAIR 2D (2:44) or 3D (5:42) Contrast-enhanced T 1 weighted 2D (3:20) or 3D (5:21)
Contrast-enhanced T 1 weighted 2D (3:20) or 3D (5:21)
Spinal cord—diagnostic
Sagittal 2D PD*/T 2 weighted sequences (3:36)
Sagittal 2D contrast-enhanced T 1 weighted (2:00)
*STIR can be used alternatively
Optional: axial 2D T 2 weighed sequences

CVS, Central Vein Sign; 2D, two-dimensional; 3D, three-dimensional; DWI, diffusion-weighted imaging; FLAIR, fluid-attenuated inversion-recovery; STIR, short tau inversion-recovery;SWI, Susceptibility Weighted Imaging.

A cornerstone of most recommended brain protocols is three-dimensional (3D) rather than two-dimensional (2D) fluid-attenuated inversion-recovery (FLAIR) to (i) improve sensitivity for lesion detection and (ii) enable reconstruction in any desired plane thereby mitigating differences in the longitudinal assessment due to imperfect scanning plane alignment and patient repositioning. On modern scanners, such 3D-FLAIR sequences can now be obtained in under 5 min. The general advantage of using 3D sequences is that longitudinal scans can be registered and subtracted, which greatly facilitates detection of new lesions and improves inter observer variability11

Detection of disease activity through new FLAIR lesions may also reduce the need to use gadolinium, which carries the risk of deposition in the central nervous systemCNS.

Recently, several (semi-)automated tools to estimate MS lesion changes as well as whole brain and white/grey matter volumes have been CE marked and some have been FDA approved.12 These new technologies are designed to not only assist the radiologist in the detection of lesions, but also to quantify volume changes. Evidence suggests that using these tools to guide radiologists may reduce both interobserver variability and reading time.13 Moreover, brain volume changes can be reliably quantified in ways that may contribute to clinical decisions. While the data are not yet available to evaluate the utility of these measures in clinical practice and current expert guidelines thus do not recommend their routine use,8 it would be prudent to consider these and other emerging analytical technologies for clinical decision support when formulating a UK protocol.

With highly active DMT focussing on the adaptive immune response, characteristic risk profiles have emerged that warrant use of specific methods for MRI monitoring. The major example of this is monitoring for the risk of progressive multifocal leukoencephalopathy due to the long-term treatment of pwMS with natalizumab (Tysabri) and—rarely—other DMTs for pwMS.14 Other DMT-associated opportunistic infections also are being recognized.15 As highly active DMT use become commonplace across the country, mitigation of the risks by frequent (3–6 monthly) MRI monitoring is needed, for which an abbreviated protocol including only 3D-FLAIR, 2D-T2 and diffusion-weighted imaging is recommended (https://ms-pml.org/).

Since markers of MS disease activity based on biofluids are only slowly emerging, the quality of both diagnostic as well as follow-up MRI will, for the time being, remain key for the optimum care of pwMS. This has most recently been recognized by a dedicated satellite panel at the annual meeting of the Association of British Neurologists in April 2018. We encourage the neuroradiology community in the UK to take the next step and develop a nationwide efficient protocol that enables best care as well as equity in the diagnosis and follow-up of pwMS across the NHS.

Footnotes

Acknowledgment: The meeting, from which this commentary emerged, took place at the Royal Society of Medicine in London on 5 October 2017 and was kindly supported by Biogen. PMM would like to acknowledge support by the Edmond J Safra Foundation and Lily Safra for personal funding and MRC, the UK Dementia Research Institute (with funds from the MRC, Alzheimer's Society and Alzheimer's Research UK), and the Imperial College Healthcare Trust Biomedical Research Centre.

Disclosures: KS has received speaking honoraria, meeting support or scientific advisory fees from Biogen, Lipomed, Merck Serono, Novartis, Roche and Teva. AS and TC have received speaking honoraria from Biogen. WvH is the CEO and a board member and shareholder of Icometrix Ltd. PMM has received consultancy or scientific advisory fees from Adelphi Communications, Biogen, Ipsen Pharmaceuticals and Roche. He has received honoraria or speakers’ fees from Biogen and Novartis, and research or educational funds from Biogen, GlaxoSmithKline, Nodthera and Novartis. MPW has received consultancy & speaker honoraria from Bayer Healthcare, Biogen, Biologix, Celgene, Genilac, IXICO, Merck-Serono, Novartis, Roche, Sanofi-Genzyme, and Springer Healthcare.

Contributor Information

Klaus Schmierer, Email: k.schmierer@qmul.ac.uk.

Thomas Campion, Email: thomas.campion@bartshealth.nhs.uk.

Audrey Sinclair, Email: audrey.sinclair@stgeorges.nhs.uk.

Wim van Hecke, Email: wim.vanhecke@icometrix.com.

Paul M Matthews, Email: p.matthews@imperial.ac.uk.

Mike P Wattjes, Email: wattjes.mike@mh-hannover.de.

REFERENCES

  • 1. Thompson AJ, Baranzini SE, Geurts J, Hemmer B, Ciccarelli O. Multiple sclerosis. Lancet 2018;Available from[Internet]. [DOI] [PubMed] [Google Scholar]
  • 2. Mackenzie IS, Morant SV, Bloomfield GA, MacDonald TM, O'Riordan J. Incidence and prevalence of multiple sclerosis in the UK 1990-2010: a descriptive study in the general practice Research Database. Journal of Neurology, Neurosurgery & Psychiatry 2014; 85: 76–84. doi: 10.1136/jnnp-2013-305450 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Jacobs BM, Giovannoni G, Schmierer K. No evident disease Activity-More than a risky ambition? JAMA Neurol 2018; 75: 781Available from. doi: 10.1001/jamaneurol.2018.0829 [DOI] [PubMed] [Google Scholar]
  • 4. Montalban X, Gold R, Thompson AJ, Otero-Romero S, Amato MP, Chandraratna D, et al. ECTRIMS/EAN guideline on the pharmacological treatment of people with multiple sclerosis. Mult Scler 2018; 24: 96–120. doi: 10.1177/1352458517751049 [DOI] [PubMed] [Google Scholar]
  • 5. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International panel on the diagnosis of multiple sclerosis. Ann Neurol 2001; 50: 121–7. doi: 10.1002/ana.1032 [DOI] [PubMed] [Google Scholar]
  • 6. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2017;Available from[Internet]. [DOI] [PubMed] [Google Scholar]
  • 7. O’dowd A. NHS in danger of falling behind with out of date scanners, warn experts. BMJ: British Medical Journal (Online) [Internet]. 2017. 357. Available from: Available from: http://search.proquest.com/openview/68a55750d235b66722358d940083f748/1?pq-origsite=gscholar&cbl=2043523. [DOI] [PubMed]
  • 8. Wattjes MP, Rovira Àlex, Miller D, Yousry TA, Sormani MP, de Stefano MP, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients. Nat Rev Neurol 2015; 11: 597. doi: 10.1038/nrneurol.2015.157 [DOI] [PubMed] [Google Scholar]
  • 9. Traboulsee A, Simon JH, Stone L. Revised recommendations of the consortium of MS centers task force for a standardized MRI protocol and clinical guidelines for the diagnosis and follow-up of …. American Journal [Internet]. 2015. Available from: http://www.ajnr.org/content/early/2015/11/12/ajnr.A4539.abstract. [DOI] [PMC free article] [PubMed]
  • 10. Vågberg M, Axelsson M, Birgander R, Burman J, Cananau C, Forslin Y, et al. Guidelines for the use of magnetic resonance imaging in diagnosing and monitoring the treatment of multiple sclerosis: recommendations of the Swedish multiple sclerosis association and the Swedish neuroradiological Society. Acta Neurol Scand 2017; 135: 17–24. doi: 10.1111/ane.12667 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Moraal B, Wattjes MP, Geurts JJG, Knol DL, van Schijndel RA, Pouwels PJW, et al. Improved detection of active multiple sclerosis lesions: 3D subtraction imaging. Radiology 2010; 255: 154–63. doi: 10.1148/radiol.09090814 [DOI] [PubMed] [Google Scholar]
  • 12. Jain S, Sima DM, Ribbens A, Cambron M, Maertens A, Van Hecke W, et al. Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images. Neuroimage Clin 2015; 8: 367–75. doi: 10.1016/j.nicl.2015.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Dahan A, Wang W, Gaillard F. Computer-aided detection can bridge the skill gap in multiple sclerosis monitoring. J Am Coll Radiol 2018; 15(1 Pt A): 93–6. doi: 10.1016/j.jacr.2017.06.030 [DOI] [PubMed] [Google Scholar]
  • 14. Wattjes MP, Barkhof F. Diagnosis of natalizumab-associated progressive multifocal leukoencephalopathy using MRI. Curr Opin Neurol 2014; 27: 260–70. doi: 10.1097/WCO.0000000000000099 [DOI] [PubMed] [Google Scholar]
  • 15. Epstein DJ, Dunn J, Deresinski S. Infectious complications of multiple sclerosis therapies: implications for screening, prophylaxis, and management. Open Forum Infect Dis 2018; 5: ofy174.. doi: 10.1093/ofid/ofy174 [DOI] [PMC free article] [PubMed] [Google Scholar]

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